Secret sharing schemes are one of the most important primitives in distributed systems In perfect secret sharing schemes collabo ration between unauthorised participants cannot reduce their uncer tainty about the secret This paper presents a perfect secret sharing scheme arising from critical sets of Room squares

this paper assumes the cell formation problem as a distributed decision network. it proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...

Uncertainty inherent in the financial market was usually consid- ered to be random. However, randomness is only one special type of uncer- tainty and appropriate when describing objective information. For describing subjective information it is preferred to assume that uncertainty is fuzzy. This paper defines the expected payoof trading strategies in a fuzzy financial market within the framewor...

A technique for coupling an intrusive and non-intrusive uncertainty quantification method is proposed. The intrusive approach uses a combination of polynomial chaos and stochastic Galerkin projection. The non-intrusive method uses numerical integration by combining quadrature rules and the probability density functions of the prescribed uncertainties. A strongly stable coupling procedure betwee...

uncertainty inherent in the financial market was usually consid- ered to be random. however, randomness is only one special type of uncer- tainty and appropriate when describing objective information. for describing subjective information it is preferred to assume that uncertainty is fuzzy. this paper defines the expected payoof trading strategies in a fuzzy financial market within the framewor...

Residual-based control charts are popular methods for statistical process control of autocorrelated processes. To implement these methods, a time series model of the process is required. The model must be estimated from data, in practice, and model estimation errors can cause the actual in-control average run length to differ substantially from the desired value. This article develops a method ...

The complexity of probabilistic reasoning with Bayesian networks has recently been proven to be NP complete So reducing the complexity of such networks is an active issue in uncer tainty reasoning Much work on such as compressing the probabilistic information for Bayesian networks and optimal approximation algorithm for Bayesian inference has been suggested In this paper we study a class of tra...

Equilibrium molecular dynamics simulation and the Green-Kubo formalismwere used to calculate self-diffusion coefficient, shear viscosity, and thermalconductivity for 30 different quadrupolar two-center Lennard-Jones fluids alongthe bubble line and in the homogeneous liquid. It was systematically investi-gated how anisotropy, i.e. elongation, and quadrupole momentum influence the...

The Dempster Shafer theory of evidence has been used intensively to deal with uncer tainty in knowledge based systems How ever the representation of uncertain rela tionships between evidence and hypothesis groups heuristic knowledge is still a major research problem This paper presents an ap proach to representing such heuristic knowl edge by evidential mappingswhich are de ned on the basis of ...

This study considers the problem of feature selection in in complete data. The intuitive approach is to first impute the missing values, and then apply a standard feature selection method to select relevant features. In this study, we show how to perform feature selection directly, without imputing missing values. We define the objective function of the un certainty margin based feature selecti...